Learning physically consistent differential equation models from data using group sparsity

Research article (Physical review. E, 2021) · cited 26× · AI/ML
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Learning physically consistent differential equation models from data using group sparsity

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Learning physically consistent differential equation models from data using group sparsity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning physically consistent differential equation models from data using group sparsity. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-physically-consistent-differential-equation-models-from-data-using-group-sparsity
MLA “Learning physically consistent differential equation models from data using group sparsity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-physically-consistent-differential-equation-models-from-data-using-group-sparsity.
BibTeX @misc{4ortxyz_learning-physically-consistent-differential-equation-models-from-data-using-group-sparsity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning physically consistent differential equation models from data using group sparsity}}, year = {2026}, url = {https://4ort.xyz/entity/learning-physically-consistent-differential-equation-models-from-data-using-group-sparsity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning physically consistent differential equation models from data using group sparsity — https://4ort.xyz/entity/learning-physically-consistent-differential-equation-models-from-data-using-group-sparsity (retrieved 2026-05-24)

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